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Cited by 496

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

It's time: A meta-analysis on the self-control-deviance link

Open access
Vazsonyi, Alexander T., Mikuška, Jakub, Kelley, Erin L.·2017·Journal of Criminal Justice

Abstract

Purpose The current meta-analysis examines the link between self-control and measures of crime and deviance, taking stock of the empirical status of self-control theory and focusing on work published between 2000 and 2010. Methods A total of 796 studies were reviewed for inclusion/exclusion criteria and yielded a final study sample of 99 studies (88 cross-sectional and 19 longitudinal effect sizes, analyzed separately). Random effects mean correlations between self-control and deviance were analyzed for cross-sectional and longitudinal studies, respectively. Publication bias was assessed using multiple methods. Results A random effects mean correlation between self-control and deviance was M r = 0.415 for cross-sectional studies and M r = 0.345 for longitudinal ones; this effect did not significantly differ by study design. Studies with more male participants, studies based on older or US-based populations, and self-report studies found weaker effects. Conclusions Substantial empirical support was found for the main argument of self-control theory and on the transdisciplinary link between self-control and measures of crime and deviance. In contrast to Pratt and Cullen, but consistent with theory, the effect from cross-sectional versus longitudinal studies did not significantly differ. There was no evidence of publication bias.

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Crossref · 10.1016/j.jcrimjus.2016.10.001

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Metadata

Authors
Vazsonyi, A. T., Mikuška, J., & Kelley, E. L.
Venue
Journal of Criminal Justice
Publisher
Elsevier BV
Published
2017-01
Volume
48
Pages
48-63
ISSN
0047-2352 (ISSN-L)
OpenAlex
W2568325873
Cited by
496
References
13
FWCI
22.33
Type
journal article
Language
en
Open access
hybrid

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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